Independent Bank Corp. (INDB)

Community bank, 43% in retail branches. Read November 11, 2026 from the annual report for the period ending December 31, 2025, filed February 27, 2026. Ranked 103 of the 173 Financial Services companies read so far, by the share within reach now.

A commercial bank whose filing states its total and the shares of its three largest units.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 56% now, 66% at the end of 2027, 68% at the end of 2028, 68% at the end of 2030. By the patterns, the work is about 68% desk work, 23% people work and 9% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 32% of the working time stays with people (conversation, in-person and hands-on work), 61% becomes checking a model's work and 6% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

2,294 employees as of December 31, 2025 (stated). The excerpt does not say where colleagues work.

The filing: “As of December 31, 2025, Rockland Trust employed 2,294 total colleagues, 1,019 of whom are officers of the Bank.”

The workforce as industry patterns

What the filing says about the workforce: 1,019 of 2,294 colleagues are officers of the bank. Average full-time equivalent 2,219. Largest units by headcount: Retail 42.9%, Commercial 17.3%, Operations 7.8%.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Credit Intermediation and Related Activities (5221 and 5223 only), largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

• JPMorgan Chase (JPM, 318,512 employees)56% now, 70% by 2028
• Citigroup (C, 226,000 employees)57% now, 70% by 2028
• Bank of America (BAC, 213,000 employees)57% now, 69% by 2028
• Wells Fargo (WFC, 205,000 employees)57% now, 69% by 2028
• Capital One Financial Corporation (COF, 76,300 employees)56% now, 68% by 2028
• U.S. Bancorp (USB, 68,520 employees)56% now, 68% by 2028
• The PNC Financial Services Group, Inc. (PNC, 55,333 employees)56% now, 68% by 2028
• Mastercard Incorporated (MA, 39,800 employees)56% now, 68% by 2028

What the filing says about AI

13 sentences in the filing name AI. The filing names the use of AI technologies by cybercriminals, including deep-fake technologies, among its risks.

• “Factors that may cause actual results to differ materially from those contemplated by such forward-looking statements include, but are not limited to, the following: adverse economic conditions in the regional and local economies within the New England region and the Company's market area; events impacting the financial services industry, including high profile bank failures, and any resulting...”
• “The risk of electronic fraudulent activity within the financial services industry, especially in the commercial banking sector, due to cyber-attacks (crime committed through or involving the internet, such as phishing, hacking, ransomware, denial of service attacks, stealing information, unauthorized intrusions into internal systems or the systems of the Company's third-party vendors, including...”
• “The use of AI technologies by cybercriminals continues to be a major concern, including with respect to deep-fake technologies, which continue to improve, allowing bad actors to manipulate or fabricate visual and audio content and convincingly fake identities.”
• “The financial services industries continually experience rapid technological change with frequent introductions of new technology-driven products and services, such as AI, including generative AI, machine learning, and similar tools and technologies that collect, aggregate, analyze or generate data or other materials or content.”
• “The development and use of AI presents risks and challenges that may adversely impact the Company's business.”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 20210median 0
• Fiscal 20220median 0
• Fiscal 20233median 1
• Fiscal 20243median 4
• Fiscal 202513median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• The investment management and corporate units are named without counts and are read inside the banking pattern.

Source: the company's annual report on EDGAR, accession 0000776901-26-000058, the filing. Read by Claude Fable 5.2 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.